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. Author manuscript; available in PMC: 2011 Jun 22.
Published in final edited form as: J Biol Rhythms. 2010 Oct;25(5):372–380. doi: 10.1177/0748730410379711

Figure 1. JTK_CYCLE reliably detects cycling transcripts.

Figure 1

To simulate circadian gene expression, a test set of 1024 ‘transcripts’ was randomly generated with 48 time points per transcript. Half of these transcripts were non-rhythmic with amplitudes equal to zero; the other half consisted of transcripts with amplitudes ranging from one (weakly rhythmic) to six (strongly rhythmic). JTK_CYCLE (A), COSOPT (B), and Fisher’s G-test (C) were used to analyze these data, and −Log 10 p-values were plotted as a function of the true amplitude. JTK_CYCLE reliably distinguished rhythmic from non-rhythmic transcripts; in comparison, COSOPT and Fisher’s G-test showed considerable overlap between the null-distribution and the true-positives.